PrincetonLIPS / MaMLinks
Official code for Generative Marginalization Models [ICML 2024] [SPGIM 2023 Workshop Oral]
☆24Updated last year
Alternatives and similar repositories for MaM
Users that are interested in MaM are comparing it to the libraries listed below
Sorting:
- Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)☆127Updated 2 years ago
- ☆15Updated 5 years ago
- Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021☆29Updated 4 years ago
- ☆24Updated 4 years ago
- The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…☆57Updated 3 years ago
- Official code for "VFlow: More Expressive Generative Flows with Variational Data Augmentation" (ICML 2020)☆40Updated 2 years ago
- ☆37Updated 5 years ago
- This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivale…☆23Updated last year
- ☆23Updated 4 years ago
- A minimalist implementation of score-based diffusion model☆128Updated 4 years ago
- ☆32Updated last year
- An implementation of (Induced) Set Attention Block, from the Set Transformers paper☆67Updated 3 years ago
- Denoising Diffusion Implicit Models☆28Updated 4 years ago
- Code for "Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance", NeurIPS 2022☆17Updated 2 years ago
- Code for ICLR 2021 Paper, "Anytime Sampling for Autoregressive Models via Ordered Autoencoding"☆26Updated 2 years ago
- Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper☆105Updated 4 years ago
- ☆29Updated 4 years ago
- A demo shows how to combine Langevin dynamics with score matching for generative models.☆42Updated 5 years ago
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆42Updated 2 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).☆20Updated last year
- Transformers with doubly stochastic attention☆53Updated 3 years ago
- ☆18Updated 2 years ago
- ☆54Updated last year
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 5 years ago
- Implementation of Insertion-deletion Denoising Diffusion Probabilistic Models☆30Updated 3 years ago
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆69Updated 3 years ago
- [Neurips 2021]Diffusion Normalizing Flow (DiffFlow)☆120Updated 2 years ago
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆17Updated last year
- Code for the paper https://arxiv.org/abs/2205.14987v2☆58Updated last year
- A PyTorch implementation of Bayesian flow networks (Graves et al., 2023).☆29Updated 2 years ago